Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CAE153A0D168D807917281C4F6A6AB9F73504245E3931F0497F8926BFEDECA69E172C8 |
|
CONTENT
ssdeep
|
192:h3Z2aWFQGtNAEay5Mmid08ShY1lR31ruB:hp2SCSE95Mmk08gYN8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbc3bcb234ac23ac |
|
VISUAL
aHash
|
fc3c38382c6f0f03 |
|
VISUAL
dHash
|
49c8e8e9c9493b3b |
|
VISUAL
wHash
|
fc3c38383c7f0f01 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
49c8e0e9c9c95b3f,cdcccc4cdcccecec,88458a9a0143aa8c,1111d9d964499290,0000000000020d58,24a4245830763670,33666bc78e1d4d2f,185b3f3f3b3b7be9 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 2 techniques to evade detection by security scanners and make reverse engineering more difficult.